Principal Data Engineer, Platform

Summary

Join our remote-friendly team as a Principal Data Engineer and contribute to solving large-scale problems rapidly. This impactful position enables LeafLink to coordinate and integrate with 3rd party data sets and proprietary data to produce valuable insights into business and customer needs.

Requirements

• Minimum of 10 years experience in a professional working environment on a data or engineering team
• Individual contributor leadership to our data and analytics engineers and specialization on our current Platform Engineering team around data enterprise architecture and best practices
• Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of data stores
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Expertise writing Python processing jobs to ingest a variety of structured and unstructured data received from various sources & formats such as Rest APIs, Flat Files, and Logs with the ability to support and scale to both smaller and larger dataset ingestions

Responsibilities

• Audit, design, and maintain a high-performing, modular, and optimal data pipeline architecture for structured and unstructured use cases around machine learning, reporting, and analytics
• Design and co-build with Cloud and DevOps the infrastructure and operations required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, python, and AWS cloud technologies
• Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense
• Analyze and evaluate existing solutions and make decisions on whether to extend or refactor as needed with a major focus on improving our pipeline and reporting performance
• Work with the CTO and department stakeholders to properly plan short and long-term goals, and define and execute a technical roadmap that continues to evolve LeafLink’s data capabilities and functionality to meet the needs of our Business and Product Vision
• Work collaboratively with multiple cross-functional agile teams to help deliver end-to-end products and features enabled by our data pipeline, seeing them through from conception to delivery
• Help define, document, evolve, and evangelize high engineering standards, best practices, tenants, and data management & governance across data and analytics engineering
• Move quickly and intelligently - seeing technical debt as your nemesis and eliminating risk
• Effectively communicate the complexity of your work to technical and non-technical audiences through non-written and written mediums
• Design, develop, and test data models in our data warehouse that enable data and analytics processes
• Help define and build our enterprise data catalog and dictionary
• Troubleshoot, diagnose and address data quality issues quickly and effectively while implementing solutions to combat this at scale, including improved quality controls and observability and monitoring
• Provide mentorship and growth to our BE and Data engineers while creating repeatable and scalable solutions and patterns

Benefits

• Flexible PTO - you’re going to be working hard so enjoy time off with no cap!
• A robust stock option plan to give our employees a direct stake in LeafLink’s success
• 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community
• Competitive compensation and 401k match
• Comprehensive health coverage (medical, dental, vision)
• Commuter Benefits through our Flexible Spending Account